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解释性AI预测了西班牙人口基于营养和生活习惯的饮食习惯
Elena Sandri1,2, Germán Cerdá Olmedo1, Michela Piredda3
1Faculty of Medicine and Health Sciences, Catholic University of Valencia San Vicente Mártir, c/Quevedo, 2, 46001 Valencia, Spain.
European journal of investigation in health, psychology and education
|February 25, 2025
概括
可解释的AI确定了鱼类消费是西班牙饮食的关键预测因素. 年轻的成年人更喜欢植物性饮食,而年长的成年人更喜欢地中海饮食.
科学领域:
- 营养科学 营养科学
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 了解饮食模式对于公共健康至关重要.
- 西班牙的人口表现出多样化的饮食习惯,包括地中海,素食主义,素食主义和间歇性禁食方法.
- 预测特定饮食的坚持需要强大的分析方法.
研究的目的:
- 在西班牙人口中使用可解释的人工智能 (XAI) 识别关键的饮食和生活方式预测因素.
- 检查人口统计因素对饮食选择的影响.
- 评估不同饮食模式的AI模型的预测准确度.
主要方法:
- 一项采用Nutri-So-HH尺度进行数据收集的横截面研究.
- 可解释的人工智能 (XAI) 的应用与夏普利增量扩展 (SHAP) 和CatBoost算法.
- 分析了22,181名西班牙成年人代表不同饮食群体的数据.
主要成果:
- 鱼类消费成为最强的饮食预测因素.
- 年龄显著影响了饮食选择,年轻人喜欢纯素/素食饮食,老年人喜欢地中海饮食.
- 素食者/素食者消耗的垃圾食物较少;间歇性禁食者在身体上更活跃.
结论:
- XAI有效地预测了坚持地中海饮食的情况.
- 基于植物和间歇性禁食饮食的模型性能是有限的,因为样本大小的不平衡.
- 需要对植物性饮食和间歇性禁食饮食进行更大样本尺寸的进一步研究.
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